




from collections.abc import Generator
from math import sin







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			bytes:



       """simple docstring"""

       if len(lowercase_		) != 32:
              raise ValueError('''Input must be of length 32'''		)

       A__ 					=       b''''''
       for i in [3, 2, 1, 0]:
              little_endian += string_aa[8 * i : 8 * i + 8]
       return little_endian







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			bytes:



       """simple docstring"""

       if i < 0:
              raise ValueError('''Input must be non-negative'''		)

       A__ 					=       format(lowercase_					,							'''08x'''		)[-8:]
       A__ 					=       b''''''
       for i in [3, 2, 1, 0]:
              little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('''utf-8'''		)
       return little_endian_hex







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			bytes:



       """simple docstring"""

       A__ 					=       b''''''
       for char in message:
              bit_string += format(lowercase_					,							'''08b'''		).encode('''utf-8'''		)
       A__ 					=       format(len(lowercase_		)					,							'''064b'''		).encode('''utf-8'''		)

       # Pad bit_string to a multiple of 512 chars
       bit_string += b"1"
       while len(lowercase_		) % 512 != 448:
              bit_string += b"0"
       bit_string += to_little_endian(start_len[32:]		) + to_little_endian(start_len[:32]		)

       return bit_string







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			Generator[list[int], None, None]:



       """simple docstring"""

       if len(lowercase_		) % 512 != 0:
              raise ValueError('''Input must have length that\'s a multiple of 512'''		)

       for pos in range(0					,							len(lowercase_		)					,							512		):
              A__ 					=       bit_string[pos : pos + 512]
              A__ 					=       []
              for i in range(0					,							512					,							32		):
                     block_words.append(int(to_little_endian(block[i : i + 32]		)					,							2		)		)
              yield block_words







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			int:



       """simple docstring"""

       if i < 0:
              raise ValueError('''Input must be non-negative'''		)

       A__ 					=       format(lowercase_					,							'''032b'''		)
       A__ 					=       ''''''
       for c in i_str:
              new_str += "1" if c == "0" else "0"
       return int(lowercase_					,							2		)







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			int:



       """simple docstring"""

       return (a + b) % 2**32







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			int:



       """simple docstring"""

       if i < 0:
              raise ValueError('''Input must be non-negative'''		)
       if shift < 0:
              raise ValueError('''Shift must be non-negative'''		)
       return ((i << shift) ^ (i >> (32 - shift))) % 2**32







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			bytes:



       """simple docstring"""

       A__ 					=       preprocess(lowercase_		)

       A__ 					=       [int(2**32 * abs(sin(i + 1		)		)		) for i in range(64		)]

       # Starting states
       A__ 					=       0x67_452_301
       A__ 					=       0xEF_CDA_B89
       A__ 					=       0x98_BAD_CFE
       A__ 					=       0x10_325_476

       A__ 					=       [
           7,
           12,
           17,
           22,
           7,
           12,
           17,
           22,
           7,
           12,
           17,
           22,
           7,
           12,
           17,
           22,
           5,
           9,
           14,
           20,
           5,
           9,
           14,
           20,
           5,
           9,
           14,
           20,
           5,
           9,
           14,
           20,
           4,
           11,
           16,
           23,
           4,
           11,
           16,
           23,
           4,
           11,
           16,
           23,
           4,
           11,
           16,
           23,
           6,
           10,
           15,
           21,
           6,
           10,
           15,
           21,
           6,
           10,
           15,
           21,
           6,
           10,
           15,
           21,
       ]

       # Process bit string in chunks, each with 16 32-char words
       for block_words in get_block_words(lowercase_		):
              A__ 					=       aa
              A__ 					=       ba
              A__ 					=       ca
              A__ 					=       da

              # Hash current chunk
              for i in range(64		):
                     if i <= 15:
                            # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                            A__ 					=       d ^ (b & (c ^ d))
                            A__ 					=       i
                     elif i <= 31:
                            # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                            A__ 					=       c ^ (d & (b ^ c))
                            A__ 					=       (5 * i + 1) % 16
                     elif i <= 47:
                            A__ 					=       b ^ c ^ d
                            A__ 					=       (3 * i + 5) % 16
                     else:
                            A__ 					=       c ^ (b | not_aa(lowercase_		))
                            A__ 					=       (7 * i) % 16
                     A__ 					=       (f + a + added_consts[i] + block_words[g]) % 2**32
                     A__ 					=       d
                     A__ 					=       c
                     A__ 					=       b
                     A__ 					=       sum_aa(lowercase_					,							left_rotate_aa(lowercase_					,							shift_amounts[i]		)		)

              # Add hashed chunk to running total
              A__ 					=       sum_aa(lowercase_					,							lowercase_		)
              A__ 					=       sum_aa(lowercase_					,							lowercase_		)
              A__ 					=       sum_aa(lowercase_					,							lowercase_		)
              A__ 					=       sum_aa(lowercase_					,							lowercase_		)

       A__ 					=       reformat_hex(lowercase_		) + reformat_hex(lowercase_		) + reformat_hex(lowercase_		) + reformat_hex(lowercase_		)
       return digest


if __name__ == "__main__":
  import doctest

  doctest.testmod()




"""simple docstring"""



import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests


def 			_UpperCamelCase						(    _A       ,   _A=None   )     ->	Optional[int]:





    """simple docstring"""

    _UpperCAmelCase        = None
    if token is not None:
        _UpperCAmelCase        = {"""Accept""": """application/vnd.github+json""", """Authorization""": F"""Bearer {token}"""}

    _UpperCAmelCase        = F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
    _UpperCAmelCase        = requests.get(_A       ,   headers=_A   ).json()
    _UpperCAmelCase        = {}

    try:
        job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}   )
        _UpperCAmelCase        = math.ceil((result["""total_count"""] - 1_0_0) / 1_0_0   )

        for i in range(_A   ):
            _UpperCAmelCase        = requests.get(url + F"""&page={i + 2}"""       ,   headers=_A   ).json()
            job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}   )

        return job_links
    except Exception:
        print(F"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""   )

    return {}


def 			_UpperCamelCase						(    _A       ,   _A=None   )     ->	str:





    """simple docstring"""

    _UpperCAmelCase        = None
    if token is not None:
        _UpperCAmelCase        = {"""Accept""": """application/vnd.github+json""", """Authorization""": F"""Bearer {token}"""}

    _UpperCAmelCase        = F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
    _UpperCAmelCase        = requests.get(_A       ,   headers=_A   ).json()
    _UpperCAmelCase        = {}

    try:
        artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}   )
        _UpperCAmelCase        = math.ceil((result["""total_count"""] - 1_0_0) / 1_0_0   )

        for i in range(_A   ):
            _UpperCAmelCase        = requests.get(url + F"""&page={i + 2}"""       ,   headers=_A   ).json()
            artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}   )

        return artifacts
    except Exception:
        print(F"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""   )

    return {}


def 			_UpperCamelCase						(    _A       ,   _A       ,   _A       ,   _A   )     ->	List[Any]:





    """simple docstring"""

    _UpperCAmelCase        = None
    if token is not None:
        _UpperCAmelCase        = {"""Accept""": """application/vnd.github+json""", """Authorization""": F"""Bearer {token}"""}

    _UpperCAmelCase        = requests.get(_A       ,   headers=_A       ,   allow_redirects=_A   )
    _UpperCAmelCase        = result.headers["""Location"""]
    _UpperCAmelCase        = requests.get(_A       ,   allow_redirects=_A   )
    _UpperCAmelCase        = os.path.join(_A       ,   F"""{artifact_name}.zip"""   )
    with open(_A       ,   """wb"""   ) as fp:
        fp.write(response.content   )


def 			_UpperCamelCase						(    _A       ,   _A=None   )     ->	Union[str, Any]:





    """simple docstring"""

    _UpperCAmelCase        = []
    _UpperCAmelCase        = []
    _UpperCAmelCase        = None

    with zipfile.ZipFile(_A   ) as z:
        for filename in z.namelist():
            if not os.path.isdir(_A   ):
                # read the file
                if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
                    with z.open(_A   ) as f:
                        for line in f:
                            _UpperCAmelCase        = line.decode("""UTF-8"""   ).strip()
                            if filename == "failures_line.txt":
                                try:
                                    # `error_line` is the place where `error` occurs
                                    _UpperCAmelCase        = line[: line.index(""": """   )]
                                    _UpperCAmelCase        = line[line.index(""": """   ) + len(""": """   ) :]
                                    errors.append([error_line, error]   )
                                except Exception:
                                    # skip un-related lines
                                    pass
                            elif filename == "summary_short.txt" and line.startswith("""FAILED """   ):
                                # `test` is the test method that failed
                                _UpperCAmelCase        = line[len("""FAILED """   ) :]
                                failed_tests.append(_A   )
                            elif filename == "job_name.txt":
                                _UpperCAmelCase        = line

    if len(_A   ) != len(_A   ):
        raise ValueError(
            F"""`errors` and `failed_tests` should have the same number of elements. Got {len(_A   )} for `errors` """
            F"""and {len(_A   )} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"""
            """ problem."""   )

    _UpperCAmelCase        = None
    if job_name and job_links:
        _UpperCAmelCase        = job_links.get(_A       ,   _A   )

    # A list with elements of the form (line of error, error, failed test)
    _UpperCAmelCase        = [x + [y] + [job_link] for x, y in zip(_A       ,   _A   )]

    return result


def 			_UpperCamelCase						(    _A       ,   _A=None   )     ->	List[str]:





    """simple docstring"""

    _UpperCAmelCase        = []

    _UpperCAmelCase        = [os.path.join(_A       ,   _A   ) for p in os.listdir(_A   ) if p.endswith(""".zip"""   )]
    for p in paths:
        errors.extend(get_errors_from_single_artifact(_A       ,   job_links=_A   )   )

    return errors


def 			_UpperCamelCase						(    _A       ,   _A=None   )     ->	Union[str, Any]:





    """simple docstring"""

    _UpperCAmelCase        = Counter()
    counter.update([x[1] for x in logs]   )
    _UpperCAmelCase        = counter.most_common()
    _UpperCAmelCase        = {}
    for error, count in counts:
        if error_filter is None or error not in error_filter:
            _UpperCAmelCase        = {"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

    _UpperCAmelCase        = dict(sorted(r.items()       ,   key=lambda _A   : item[1]["count"]       ,   reverse=_A   )   )
    return r


def 			_UpperCamelCase						(    _A   )     ->	int:





    """simple docstring"""

    _UpperCAmelCase        = test.split("""::"""   )[0]
    if test.startswith("""tests/models/"""   ):
        _UpperCAmelCase        = test.split("""/"""   )[2]
    else:
        _UpperCAmelCase        = None

    return test


def 			_UpperCamelCase						(    _A       ,   _A=None   )     ->	str:





    """simple docstring"""

    _UpperCAmelCase        = [(x[0], x[1], get_model(x[2]   )) for x in logs]
    _UpperCAmelCase        = [x for x in logs if x[2] is not None]
    _UpperCAmelCase        = {x[2] for x in logs}

    _UpperCAmelCase        = {}
    for test in tests:
        _UpperCAmelCase        = Counter()
        # count by errors in `test`
        counter.update([x[1] for x in logs if x[2] == test]   )
        _UpperCAmelCase        = counter.most_common()
        _UpperCAmelCase        = {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
        _UpperCAmelCase        = sum(error_counts.values()   )
        if n_errors > 0:
            _UpperCAmelCase        = {"""count""": n_errors, """errors""": error_counts}

    _UpperCAmelCase        = dict(sorted(r.items()       ,   key=lambda _A   : item[1]["count"]       ,   reverse=_A   )   )
    return r


def 			_UpperCamelCase						(    _A   )     ->	Optional[int]:





    """simple docstring"""

    _UpperCAmelCase        = """| no. | error | status |"""
    _UpperCAmelCase        = """|-:|:-|:-|"""
    _UpperCAmelCase        = [header, sep]
    for error in reduced_by_error:
        _UpperCAmelCase        = reduced_by_error[error]["""count"""]
        _UpperCAmelCase        = F"""| {count} | {error[:1_0_0]} |  |"""
        lines.append(_A   )

    return "\n".join(_A   )


def 			_UpperCamelCase						(    _A   )     ->	int:





    """simple docstring"""

    _UpperCAmelCase        = """| model | no. of errors | major error | count |"""
    _UpperCAmelCase        = """|-:|-:|-:|-:|"""
    _UpperCAmelCase        = [header, sep]
    for model in reduced_by_model:
        _UpperCAmelCase        = reduced_by_model[model]["""count"""]
        _UpperCAmelCase     ,_UpperCAmelCase        = list(reduced_by_model[model]["""errors"""].items()   )[0]
        _UpperCAmelCase        = F"""| {model} | {count} | {error[:6_0]} | {_count} |"""
        lines.append(_A   )

    return "\n".join(_A   )


if __name__ == "__main__":
 a       :						Optional[Any]       		=		argparse.ArgumentParser()
 # Required parameters
 parser.add_argument('''--workflow_run_id''', type=str, required=True, help='''A GitHub Actions workflow run id.''')
 parser.add_argument(
     '''--output_dir''',
     type=str,
     required=True,
     help='''Where to store the downloaded artifacts and other result files.''',
 )
 parser.add_argument('''--token''', default=None, type=str, help='''A token that has actions:read permission.''')
 a       :						Any       		=		parser.parse_args()

 os.makedirs(args.output_dir, exist_ok=True)

 a       :						Optional[int]       		=		get_job_links(args.workflow_run_id, token=args.token)
 a       :						Optional[int]       		=		{}
 # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
 # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
 if _job_links:
  for k, v in _job_links.items():
   # This is how GitHub actions combine job names.
   if " / " in k:
    a       :						Union[str, Any]       		=		k.find(''' / ''')
    a       :						Optional[int]       		=		k[index + len(''' / ''') :]
   a       :						Optional[int]       		=		v
 with open(os.path.join(args.output_dir, '''job_links.json'''), '''w''', encoding='''UTF-8''') as fp:
  json.dump(job_links, fp, ensure_ascii=False, indent=4)

 a       :						Union[str, Any]       		=		get_artifacts_links(args.workflow_run_id, token=args.token)
 with open(os.path.join(args.output_dir, '''artifacts.json'''), '''w''', encoding='''UTF-8''') as fp:
  json.dump(artifacts, fp, ensure_ascii=False, indent=4)

 for idx, (name, url) in enumerate(artifacts.items()):
  download_artifact(name, url, args.output_dir, args.token)
  # Be gentle to GitHub
  time.sleep(1)

 a       :						Any       		=		get_all_errors(args.output_dir, job_links=job_links)

 # `e[1]` is the error
 a       :						int       		=		Counter()
 counter.update([e[1] for e in errors])

 # print the top 30 most common test errors
 a       :						List[str]       		=		counter.most_common(3_0)
 for item in most_common:
  print(item)

 with open(os.path.join(args.output_dir, '''errors.json'''), '''w''', encoding='''UTF-8''') as fp:
  json.dump(errors, fp, ensure_ascii=False, indent=4)

 a       :						List[Any]       		=		reduce_by_error(errors)
 a       :						List[str]       		=		reduce_by_model(errors)

 a       :						Dict       		=		make_github_table(reduced_by_error)
 a       :						int       		=		make_github_table_per_model(reduced_by_model)

 with open(os.path.join(args.output_dir, '''reduced_by_error.txt'''), '''w''', encoding='''UTF-8''') as fp:
  fp.write(sa)
 with open(os.path.join(args.output_dir, '''reduced_by_model.txt'''), '''w''', encoding='''UTF-8''') as fp:
  fp.write(sa)